Integrating the simplified interpolation into the genetic algorithm for constrained optimization problems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3801 LNAI, Issue , 2005, Pages 247-254

  Li, Hong ^a   Jiao, Yong Chang ^a   Wang, Yuping ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONSTRAINT THEORY; CONVERGENCE OF NUMERICAL METHODS; INTERPOLATION; OPTIMIZATION; PROBLEM SOLVING;

CONSTRAINED OPTIMIZATION; HYBRID GENETIC ALGORITHM; LOCAL SEARCH ABILITY;

GENETIC ALGORITHMS;

EID: 33646852428     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11596448_35     Document Type: Conference Paper

References (6)

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3. Mezura-Montes, E., Coello, C.A.C.: A Simple Multimembered Evolution Strategy to Solve Constrained Optimization Problems. IEEE Trans. on Evolutionary Computation 9 (2005) 1-17
4. Ali, M.M., Törn, A., Vitanen, S.: A Numerical Comparison of Some Modified Controlled Random Search Algorithms. Journal of Global Optimization 11 (1997) 377-385
5. Hrstka, O., Kučerová, A.: Improvements of Real Coded Genetic Algorithms Based on Differential Operators Preventing Premature Convergence. Advances in Engineering Software 35 (2004) 237-246
6. Preux, Ph., Talbi, E.-G.: Towards Hybrid Evolutionary Algorithms. International Transactions in Operational Research 6 (1999) 557-570